Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

A machine learning model trained to predict neurologic morbidity in critically ill children outperformed current measures and ...

This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

Cancer continues to be a substantial global health issue. By customizing prevention, diagnosis, and treatment plans depending on individual patient genetic ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

The company’s AI approach allows molecule candidates to be vetted for efficacy and other properties early in development.

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren ...

AI systems, particularly those trained on large datasets of public opinion, behavior, and social media activity, offer a ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.